"""simple docstring"""



import glob
import os
import random
from string import ascii_lowercase, digits

import cva
SCREAMING_SNAKE_CASE__:Optional[Any]									=			""""""
SCREAMING_SNAKE_CASE__:List[str]									=			""""""
SCREAMING_SNAKE_CASE__:int									=			""""""
SCREAMING_SNAKE_CASE__:List[str]									=			1  # (0 is vertical, 1 is horizontal)



def 	_lowerCamelCase(	):
       __a ,   __a       =    get_dataset(a   ,    a				)
       print("Processing..."				)
       __a ,   __a ,   __a       =    update_image_and_anno(a   ,    a   ,    a				)

       for index, image in enumerate(a				):
              # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
              __a       =    random_chars(3_2				)
              __a       =    paths[index].split(os.sep				)[-1].rsplit("."   ,    1				)[0]
              __a       =    F"{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}"
              cva.imwrite(F"/{file_root}.jpg"   ,    a   ,    [cva.IMWRITE_JPEG_QUALITY, 8_5]				)
              print(F"Success {index+1}/{len(a				)} with {file_name}"				)
              __a       =    []
              for anno in new_annos[index]:
                     __a       =    F"{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}"
                     annos_list.append(a				)
              with open(F"/{file_root}.txt"   ,    "w"				) as outfile:
                     outfile.write("\n".join(line for line in annos_list				)				)



def 	_lowerCamelCase(	a   ,    a				):
       __a       =    []
       __a       =    []
       for label_file in glob.glob(os.path.join(a   ,    "*.txt"				)				):
              __a       =    label_file.split(os.sep				)[-1].rsplit("."   ,    1				)[0]
              with open(a				) as in_file:
                     __a       =    in_file.readlines()
              __a       =    os.path.join(a   ,    F"{label_name}.jpg"				)

              __a       =    []
              for obj_list in obj_lists:
                     __a       =    obj_list.rstrip("\n"				).split(" "				)
                     boxes.append(
                         [
                             int(obj[0]				),
                             float(obj[1]				),
                             float(obj[2]				),
                             float(obj[3]				),
                             float(obj[4]				),
                         ]				)
              if not boxes:
                     continue
              img_paths.append(a				)
              labels.append(a				)
       return img_paths, labels



def 	_lowerCamelCase(	a   ,    a   ,    a = 1				):
       __a       =    []
       __a       =    []
       __a       =    []
       for idx in range(len(a				)				):
              __a       =    []
              __a       =    img_list[idx]
              path_list.append(a				)
              __a       =    anno_list[idx]
              __a       =    cva.imread(a				)
              if flip_type == 1:
                     __a       =    cva.flip(a   ,    a				)
                     for bbox in img_annos:
                            __a       =    1 - bbox[1]
                            new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]				)
              elif flip_type == 0:
                     __a       =    cva.flip(a   ,    a				)
                     for bbox in img_annos:
                            __a       =    1 - bbox[2]
                            new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]				)
              new_annos_lists.append(a				)
              new_imgs_list.append(a				)
       return new_imgs_list, new_annos_lists, path_list



def 	_lowerCamelCase(	a = 3_2				):
       assert number_char > 1, "The number of character should greater than 1"
       __a       =    ascii_lowercase + digits
       return "".join(random.choice(a				) for _ in range(a				)				)


if __name__ == "__main__":
   main()
   print("""DONE ✅""")

"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE__:int									=			logging.get_logger(__name__)






class  snake_case__      (       snake_case_       ):


 def __init__( self    ,		*lowerCamelCase    ,		**lowerCamelCase						):
        warnings.warn(
            "The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use DeformableDetrImageProcessor instead."    ,		lowerCamelCase    ,		)
        super().__init__(*lowerCamelCase    ,		**lowerCamelCase						)
